September 2, 2025 - Tencent Youtu Lab officially announced the open source of the Youtu-Agent framework, a powerful and modular framework designed for building, running, and evaluating autonomous AI agents. This groundbreaking framework is now available to global developers, and with its flexibility, high performance, and support for open source models, it is expected to reshape the landscape of AI agent development. According to reports, Youtu-Agent has shown excellent performance in tasks such as data analysis, file processing, and in-depth research, becoming a transformative tool in the AI community.
The New Benchmark for AI Agent Frameworks
Youtu-Agent stands out with its outstanding performance in multiple challenging benchmark tests, using open-source models like DeepSeek-V3, with excellent performance. The framework achieved an accuracy rate of 71.47% in the WebWalkerQA test and reached 72.8% on the GAIA text validation subset, setting a new record (SOTA) for open-source agent frameworks. Unlike traditional frameworks that rely on proprietary models, Youtu-Agent optimizes a low-cost and accessible deployment method, providing developers and enterprises with scalable AI solutions without relying on closed systems.
Youtu-Agent adopts a modular design, focusing on usability and extensibility. Its core components, such as Environment and ContextManager, are well-encapsulated and highly customizable, allowing developers to flexibly adjust agent behavior according to specific use cases. The framework includes a rich set of tools, supporting tasks such as web search, file operations, code execution, and document analysis. Its configuration-driven system based on Pydantic and Hydra defines agent behavior through YAML files, simplifying the development process and ensuring scalability.
Practical Applications Empowering Developers
Youtu-Agent is suitable for a wide range of users, from researchers to industry professionals, who can all benefit. It provides one-click evaluation scripts to ensure consistency in benchmark testing, portable scaffolding support for real-world applications, and intuitive visual tracking tools for debugging. Practical application scenarios include generating comprehensive research reports, analyzing CSV files, and organizing personal files. Future support will also include podcast and video generation. These features make Youtu-Agent an ideal tool for academic research and enterprise-level applications.
AIBase pointed out that Youtu-Agent is based on a declarative YAML configuration, allowing developers to automate complex workflows without deep coding. For example, data analysts can define goals such as reading Excel files, creating visual charts, and generating reports, and Youtu-Agent will automatically generate the required code infrastructure. This approach significantly lowers the barrier to building complex AI agents.
Innovating Together with the Open Source Community
Tencent's decision to open source Youtu-Agent reflects its commitment to promoting AI development through collaboration. The framework is based on the openai-agents architecture and supports diverse model APIs from DeepSeek to other open-source models, ensuring compatibility and flexibility. By open-sourcing Youtu-Agent, Tencent invites the global developer community to participate in its development, helping to drive innovation in autonomous agent technology.
This open source follows Tencent Youtu Lab's latest advances in multimodal AI, including the open-sourced VITA model, which can handle video, images, text, and audio. Collaborations between Youtu Lab and institutions such as Shanghai Jiao Tong University have also made breakthroughs in knowledge-enhanced methods for large model optimization, further solidifying its leadership position in the field of AI research.
